NutriDetect

NutriDetect: Your go-to solution for personalized health and nutrition insights. Ask questions and receive tailored advice on healthy eating, fitness, and improving your overall well-being!

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NutriDetect: Revolutionizing Health & Nutrition with AI

Overview

NutriDetect is an AI-powered web application designed to help users achieve better health and nutrition. By leveraging Cohere AI for generating personalized advice and integrating user inputs seamlessly, NutriDetect provides actionable recommendations for healthy eating and exercise.

Our mission is to make health management intuitive and accessible to everyone, from busy professionals to students, ensuring no one has to compromise their well-being.

Why NutriDetect?

Promoting Healthier Lifestyles

  • Personalized insights into nutrition and exercise plans.
  • Simplifies healthy living for individuals with busy lifestyles or specific health needs.

Inclusive for All

  • Elderly: Helps manage nutritional deficiencies.
  • Professionals: Easy-to-use system for those short on time.
  • Students: A tool to learn about nutrition and maintain well-being.

Features

1. AI-Generated Health Recommendations

  • Input health-related questions to receive tailored advice.
  • Example: “What are good foods to improve iron levels?”

2. User-Friendly Web Interface

  • Intuitive chatbot and info pages designed in Figma, built with HTML and CSS.

3. Health Insights Tailored to Your Needs

  • Tracks user queries and generates actionable tips based on previous inputs.

How We Built It

  • Frontend: Designed and implemented info and chatbot pages in Figma, brought to life using HTML and CSS.
  • Backend: Flask-powered server with Python to process requests and communicate with Cohere AI.
  • Database: Stored user queries and AI responses for seamless functionality.
  • Deployment: Hosted on Microsoft Azure for real-time accessibility.

Challenges

  • Time Constraints: Balancing ambitious ideas within a limited timeframe required scaling back some features.
  • Debugging: Addressed various issues in Flask implementation and code readability.

Accomplishments

  • Designed a functional web app combining frontend and backend seamlessly.
  • Learned new tools and frameworks while completing a project with tangible user value.
  • Tailored the system to integrate APIs for future wearable devices like Apple Watch.

What's Next?

  • Wearable API Integration: Extend functionality to connect with health trackers like Apple Watch or Fitbit.
  • Enhanced AI Features: Broader scope for detecting deficiencies and creating detailed health plans.
  • Mobile App Support: Develop a responsive app for easier access on-the-go.

Built With:

  • Flask (Python)
  • HTML & CSS
  • Microsoft Azure
  • Figma
  • Cohere AI

Team Contacts

If you have any questions or suggestions, feel free to reach out!

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